Neural network quantification for solar radiation prediction: An approach for low power devices

Neural network quantification for solar radiation prediction: An approach for low power devices

Accurate solar radiation prediction leverages various machine learning techniques, with artificial neural networks (ANN) being the most common and precise due to their ability to detect and learn relationships between meteorological variables and solar radiation. Traditionally, training and deployi...

Full description

Saved in:
Bibliographic Details
Main Authors: Brenda Alejandra Villamizar-Medina, Angelo Joseph Soto Vergel, Byron Medina-Delgado, Darwin Orlando Cardozo-Sarmiento, Dinael Guevara-Ibarra, Oriana Alexandra Lopez-Bustamante
Format: Article
Language:English
Published: Universidad de Santander 2025-01-01
Series:AiBi Revista de Investigación, Administración e Ingeniería
Subjects:
quantized neural network
solar radiation prediction
microcontroller
Online Access:https://revistas.udes.edu.co/aibi/article/view/4107
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://revistas.udes.edu.co/aibi/article/view/4107

Similar Items